H
Horst Bischof
Researcher at Graz University of Technology
Publications - 776
Citations - 43256
Horst Bischof is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Object detection & Segmentation. The author has an hindex of 85, co-authored 750 publications receiving 39858 citations. Previous affiliations of Horst Bischof include University of Vienna & University of Graz.
Papers
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Journal ArticleDOI
The Photodetector Array Camera and Spectrometer (PACS) on the Herschel Space Observatory
Albrecht Poglitsch,C. Waelkens,Norbert Geis,Helmut Feuchtgruber,B. Vandenbussche,L. Rodriguez,Oliver Krause,Etienne Renotte,C. Van Hoof,P. Saraceno,J. Cepa,Franz Kerschbaum,P. Agnese,Babar Ali,Bruno Altieri,Paola Andreani,J.-L. Augueres,Zoltan Balog,L. Barl,Otto H. Bauer,N. Belbachir,M. Benedettini,N. Billot,O. Boulade,Horst Bischof,Joris Blommaert,E. Callut,C. Cara,R. Cerulli,D. Cesarsky,Alessandra Contursi,Ybe Creten,W. De Meester,V. Doublier,E. Doumayrou,L. Duband,Katrina Exter,Reinhard Genzel,Jean-Marie Gillis,Ulrich Grözinger,Thomas Henning,J. M. Herreros,Rik Huygen,Massimo Inguscio,Gerhard Jakob,Claude Jamar,C. Jean,J. de Jong,Reinhard O. Katterloher,Csaba Kiss,Ulrich Klaas,Dietrich Lemke,Dieter Lutz,Suzanne C. Madden,Benoit Marquet,J. Martignac,A. Mazy,Patrick Merken,Francis Montfort,L. Morbidelli,Thomas Müller,Markus Nielbock,K. Okumura,R. Orfei,Roland Ottensamer,Roland Ottensamer,Stefano Pezzuto,Paola Popesso,Jan Putzeys,S. Regibo,V. Reveret,Pierre Royer,Marc Sauvage,Jürgen Schreiber,Jutta Stegmaier,D. Schmitt,J. Schubert,E. Sturm,M. Thiel,G. Tofani,R. Vavrek,M. Wetzstein,E. Wieprecht,Erich Wiezorrek +83 more
TL;DR: The Photodetector Array Camera and Spectrometer (PACS) as discussed by the authors is one of the three science instruments on ESA's far infrared and sub-mil- limetre observatory.
Proceedings ArticleDOI
Large scale metric learning from equivalence constraints
TL;DR: This paper introduces a simple though effective strategy to learn a distance metric from equivalence constraints, based on a statistical inference perspective, which is orders of magnitudes faster than comparable methods.
Book ChapterDOI
A duality based approach for realtime TV-L 1 optical flow
TL;DR: This work presents a novel approach to solve the TV-L1 formulation, which is based on a dual formulation of the TV energy and employs an efficient point-wise thresholding step.
Proceedings ArticleDOI
Real-time tracking via on-line boosting
TL;DR: A novel on-line AdaBoost feature selection algorithm for tracking that allows to adapt the classifier while tracking the object and selects the most features for tracking resulting in stable tracking results.